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The current article presents the results of a case study dealing with the historical roots of Eastern European researchers in computer science.

The study is based on an analysis of cited references stemming from a collection of around 80,000 computer science papers by Eastern European researchers published from 1989 to 2014. By using a method called “reference publication year spectroscopy” (RPYS) for historical analyses based on bibliometric data, we analyze around 800,000 references cited in those papers. The study identifies the peak years, including most frequently cited publications (from 1952, 1965 and 1975), and focuses on these outstanding works for the field. The research shows how these influential papers were cited in Eastern Europe and in general, and on which scientific fields they have the most impact.

A noteworthy publication that seems to have a tremendous effect on Eastern European computer science is Zadeh's “Fuzzy sets” article which appeared in Information and Control in 1965. The study demonstrates that computer scientists from Eastern Europe are more conservative in their citation behaviour and tend to refer to older and more established research than their counterparts from the West.

Which are the historical roots of researchers working in a particular field or on a specific topic? Are there certain publications – landmark papers – which are important for their research? We guess that these are questions bothering researchers in many fields.

This study, using a new method called Referenced Publication Years Spectroscopy (RPYS), aims to examine the most important historic works written in the area of knowledge management (KM).

Preliminary data of this study have been extracted from Web of Science through scientometric methods. The references used in all the papers in the core journals in this field since 1980 to the end of 2014 were studied.

The distribution of resources in the area of KM based on the publication year indicates that this field of study, during time intervals 1900 to 1980, has seen eight major mutations. A considerable influence of such fields as economics, business, social networks analysis, organizational learning and economic sociology on the realm of KM is evident. The association of Polanyi with the mutations of 1958, 1962 and 1967 suggests his obvious influence on the evolution of KM. The ratio of articles to books among the whole documents detected by RPYS was 2-13 which could direct us to the point that the channel for information transformation in KM is more focused on books than on articles.

None of the few studies done by scientometric methods in the realm of KM has been seen through the issue of the historical origins of this area. This piece of research, using a new scientometric method, can be considered the first study in which the origins of KM over time have been studied.

The purpose of this study is the application of a recently developed quantitative method named Referenced Publication Year Spectroscopy (RPYS) in the spectrum of Collection Development. RPYS portrays peak years to be recognized in citations in a research field that guarantees to assist in the identification of significant contributions and groundbreaking revelations in a research field.

Preliminary data of the study has been extracted from Web of Science (WoS) by using two phrases “collection development” and “collection building” to search in terms of the topic (comprising four parts: title, abstract, author keywords and KeyWords Plus). The search was restricted to the time period 1974-2017, which formulated a data set of 1,682 documents covering 29,017 cited references. The program CRExplorer (www.crexplorer.net) was used for the extraction of cited references from the data sets downloaded from WoS. Further analysis was performed manually using MS-Excel 2016.

The present study identified seminal works, which contributed to a high extent to the evolution and development of collection development. The analysis of all cited references using the RPYS method showed nine peaks, which present historical roots of collection development and revealed that the basic idea of this very subfield of library science dates centuries back. Moreover, the results of the investigation on most effective documents (in the form of peaks) revealed that the field of collection development significantly influenced by the works of authors such as Gabriel Naudé, Gabriel Peignot, Giulio Petzholdt, P L Gross, E M Gross, Richard Trueswell, Allen Kent, Ross Atkinson, etc.

The analysis of works cited in publications helps to ascertain important intellectual contributions related to a particular domain of knowledge. It not only helps in extracting the most important works but also it helps to reconstruct the history of a specific research field by examining the specific role of the cited references. Therefore, the results of the study could be useful for researchers, practitioners, scholars and more specifically bibliophiles, bibliographers and librarians to gain a better understanding of seminal works in the spectrum of collection development.

To the best of authors’ knowledge, the present research work is unique and novel in the spectrum of collection development, which explored and examined the pivotal works in the field by using the RPYS method.

Although several researchers have statistically analyzed references associated with education for sustainable development based on the co-citation frequency, evolutionary analysis based on high-citation references omits literature with low citation frequency, which has a significant impact on the evolution of a discipline. The purpose of this study is to understand and explore the historical processes and roots of the field of education for sustainable development and to understand the theoretical grounding of the field.

Based on education for sustainable development publications in the science citation index expanded and social sciences citation index databases from 1992 to August 2020, a new bibliometric method, reference publication year spectroscopy, was adopted to conduct a bibliometric analysis of the 58,588 cited references in 1,778 publications.

The earliest reference in the field of education for sustainable development traces back to 1732. There were 21 peaks in this field between 1732 and August 2020. Dewey’s “new three-center theory”; Bloom’s “taxonomy”; Freire’s “conscientization theory”; the “theory of planned behavior”; Kolb’s “experiential learning theory”; Wittgenstein’s theoretical concepts of “language-games,” “forms of life” and “rule-following” and Leopold’s “land ethics” laid an early theoretical grounding of educational philosophy and environmental ethics for research into education for sustainable development. The new environmental paradigm and the new ecological paradigm have become the most widely used methodological tools for understanding the values and attitudes of people toward the natural environment. Among the 50 most cited references, Lozano and Wals have published the most publications, contributing to promoting the development of research into education for sustainable development. The Journal of Cleaner Production, International Journal of Sustainability in Higher Education and Environmental Education Research have published the most publications related to the field of education for sustainable development.

The findings of this study are helpful for scholars and practitioners to understand the academic ideological roots, theoretical grounding and important influential literature in the field of education for sustainable development.

The study aims to shed light on the historical and contemporary trends of biodiversity accounting literature, while simultaneously offering insights into the future of research in this sector. The paper also aims to raise awareness among accounting researchers about their role in preserving biodiversity and informing improvements in policy and practice in this area.

The Bibliometrix R-package is used to carry out an algorithmic historiography. The reference publication year spectroscopy (RPYS) methodology is implemented. It is a unique approach to bibliometric analysis that allows researchers to identify and examine historical patterns in scientific literature.

The work provides a distinct and comprehensive discussion of the four distinct periods demarcating the progression of scientific discourse regarding biodiversity accounting. These periods are identified as Origins (1767–1864), Awareness (1865–1961), Consolidation (1962–1995) and Acceleration (1996–2021). The study offers an insightful analysis of the main thematic advancements, interpretative paradigm shifts and theoretical developments that occurred during these periods.

The paper offers a significant contribution to the existing academic debate on the prospects for accounting scholars to concentrate their research efforts on biodiversity and thereby promote advancements in policy and practice in this sector.

The article represents the first example of using an algorithmic historiography approach to examine the corpus of literature dealing with biodiversity accounting. The value of this study comes from the fusion of historical methodology and perspective. To the best of the authors’ knowledge, this is also the first scientific investigation applying RPYS in the accounting sector.

This study aims to provide insight into Library and Information Science (LIS) research in India using scientometric approaches. Web of Science (WoS) and SCOPUS databases were used for data retrieval. The study examines productivity in terms of source types, gender distribution, document formats, authorship and other factors. In addition, this study sought to identify trends or patterns in the research preferences of LIS scientists through text analysis.

Data were downloaded from the WoS and Scopus databases over 22 years and analysed using VOSviewer, Orange, Biblioshiny and CRExplorer softwares.

The findings reveal that 5,692 out of the 9,384 documents in both databases underwent the final examination. In total, 466 different sources produced all of those papers. Author analysis revealed that 6,603 different authors authored 5,692 documents. There were 4,209 male and 1,063 female authors. Furthermore, India shares maximum collaborations with the USA and England. The spectrogram features nine significant peaks corresponding to Lotka’s, Bradford’s and similar laws. Text analysis revealed that Indian LIS researchers have consistently investigated open access and digital or open libraries.

The findings of this study will provide readers with a better understanding of India’s contribution to LIS. In addition, the study will help academics identify research gaps and undiscovered areas in the Indian context that require further investigation.

Not many studies highlight Indian research trends and international collaboration in LIS. This study highlights research trends, collaboration and gender productivity in LIS. The most cited references and trending topics were also identified using reference publication year spectroscopy and text analysis techniques.

This study aims to investigate the literature concerning the five basic tastes and find out who contributed to these publications, where they were published and what concepts were investigated.

The Web of Science was searched to identify the relevant articles. For each paper, the full record and cited references were analyzed.

Sweetness received the most attention, with 6,445 publications, 144,648 citations and h-index of 137. It was followed by bitterness (5,606 publications and 125,525 citations), sourness (1,841 publications and 40,696 citations), umami (1,569 publications and 39,120 citations) and saltiness (1,547 publications and 33,627 citations). Though umami taste had similar publication number as salty and sour tastes, it had the highest number of average citations per publication (24.9). The USA, Japan, Germany and England were major contributors to research on every basic taste. Chemical Senses was the major outlet of taste papers. Terms from the titles suggested that multiple tastes were often co-investigated. Ikeda (1909) and Kodama (1913) were identified as the seminal references that laid the foundation of umami research.

Umami, although only added relatively late to the family of basic tastes, is a highly investigated principle that receives similar amount of attention as some other basic tastes, such as sourness and saltiness.

Image Processing is an emerging field that is used to extract information from images. In recent years, this field has received immense attention from researchers, especially in the research domains of object detection, Biomedical Imaging and Semantic segmentation. In this study, a bibliometric analysis of publications related to image processing in the Science Expanded Index Extended (SCI-Expanded) has been performed. Several parameters have been analyzed such as annual scientific production, citations per article, most cited documents, top 20 articles, most relevant authors, authors evaluation using y-index, top and most relevant sources (journals) and hot topics.

The Bibliographic data has been extracted from the Web of Science which is well known and the world's top database of bibliographic citations of multidisciplinary areas that covers the various journals of computer science, engineering, medical and social sciences.

The research work in image processing is meager in the past decade, however, from 2014 to 2019, it increases dramatically. Recently, the IEEE Access journal is the most relevant source with an average of 115 publications per year. The USA is most productive and its publications are highly cited while China comes in second place. Image Segmentation, Feature Extraction and Medical Image Processing are hot topics in recent years. The National Natural Science Foundation of China provides 8% of all funds for Image Processing. As Image Processing is now becoming one of the most critical fields, the research productivity has enhanced during the past five years and more work is done while the era of 2005–2013 was the area with the least amount of work in this area.

This research is novel in this regard that no previous research focuses on Bibliometric Analysis in the Image Processing domain, which is one of the hot research areas in computer science and engineering.

Records are current documents containing crucial personal, legal, financial and medical information, while archives house non-current documents with the same details. This study specifically aims to measure existing research in records and archives management with various scientific indicators.

Data extraction was conducted using the Web of Science, resulting in a data set of 2003 records for further analysis. Biblioshiny and VOSviewer have been used for mapping and visualization of the extracted data.

Managing and organizing this essential information is equally vital to maintaining records and archives. The findings encompass various aspects such as publications and citations, influential authors, source impact factors, relevant articles, affiliations, co-authorship trends across the top 10 countries and regions, references, publication year spectroscopy, keyword co-occurrence and historiography. The study concludes that medical records management prominently dominates the selected research area.

The study reflects the advancements in management systems and continues to emerge as research on the management of records and archives has gained significance.

The purpose of this article is to analyze the existing studies on the application of artificial intelligence (AI) in lean construction management (LCM). Further, this study offers a classification scheme that specifies different categories of AI tools, as applied to the field of LCM to support various principles of LCM.

This research adopts the systematic literature review (SLR) process, which consists of five consecutive steps: planning, searching, screening, extraction and synthesis and reporting. As a supplement to SLR, a bibliometric analysis is performed to examine the quantity and citation impact of the reviewed papers.

In this paper, seven key areas related to the principles of LCM for which AI tools have been used are identified. The findings of this research clarify how AI can assist in bolstering the practice of LCM. Further, this article presents directions for the future evolution of AI tools in LCM based on the current emerging trends.

This paper advances the LCM systems by offering a lens through which construction managers can better understand key concepts in the linkage of AI to LCM.

This research offers a new classification scheme that allows researchers to properly recall, identify and group various applications of AI categories in the construction industry based on various principles of LCM. In addition, this study provides a source of references for researchers in the LCM discipline, which advances knowledge and facilitates theory development in the field.